Scientists have just organized an enormous collection of predicted protein shapes into families, using artificial intelligence and a powerful new comparison method. Working from AlphaFold models ...

💡 TL;DR: Given an image and nothing else (i.e. no prompts or candidate labels), NOVIC can generate an accurate fine-grained textual classification label in real-time, with coverage of the vast ...

We propose CLIP-EBC, the first fully CLIP-based model designed for accurate crowd density estimation. Existing classification-based crowd counting frameworks face challenges when directly applied with ...

On September 11, 2025, the U.S. Food and Drug Administration (FDA) issued new guidance for the development of therapeutic protein biosimilars, focusing on comparative analytical assessment and quality ...

We run the codebase on Ubuntu 24.04.2 LTS in WSL2 of Windows 11. The libraries and tools used are as follows: Point Cloud Library (PCL) 1.14.0 Eigen 3.4.0 CMake 3.28.3 Python 3.13.2 scikit-learn 1.6.1 ...

Machine learning has become an essential tool in computational drug design, enabling models to uncover patterns in molecular data and predict protein–ligand interactions. This study introduces a novel ...

About six months after coming out of stealth with $50 million in funding, Latent Labs has released a web-based AI model for programming biology. Latent Labs‘ model has “achieved state-of-the-art in ...

Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning 110016, China College of Medicine and Biological Information Engineering, Northeastern University, ...